For the last seven months I’ve been building Lumarka, a platform that sits between AI video generators and actually making a movie with AI. It’s ambitious. I probably bit off more than I can chew. But the journey taught me something I didn’t expect. I started with n8n. Built two or three dozen workflows. Got pretty good at it. But somewhere along the way I noticed something: most of my workflows were basically code with a visual wrapper. I was writing logic, handling edge cases, debugging errors… just through little boxes instead of text. And at some point I had this very simple thought: why am I adding this extra layer at all? With Claude Code, I can work directly with the source. No translation layer. No dragging nodes around to represent logic I could just write. When something breaks, I’m not debugging a workflow and the code inside it, I’m just debugging code. When I want to change something, I change it. The feedback loop is tighter. The power is more direct. Don’t get me wrong, n8n still has its place. Modular automations, swapping tools in and out, quick experiments… it’s great for that. I still use it. But for building an actual product? Working directly in code with Claude as my partner is just on another level. What really blows my mind is that I’m even able to say this. For most of my career, “code” might as well have been hieroglyphics. I avoided it. It felt like a different species of thinking. I never imagined I’d understand what was going on under the hood, let alone enjoy it. I’m still lost sometimes. But now when I hit a wall, I have a partner who explains what’s happening in plain English, and I push through instead of bouncing off. That alone feels like a small miracle. So what does this have to do with AI filmmaking? At first glance this probably sounds like a nerdy tooling story. But for filmmakers, this shift is actually about something much simpler: creative control and speed. Right now most AI filmmaking workflows are fragile. You bounce between tools, UIs, prompts, formats, and half the time you’re fighting the software instead of shaping the story. Every extra layer adds friction. Every abstraction hides what’s really happening.

500 creators, one community. AIography is just getting started. 👀 We just hit another milestone — 500 members strong! 🙌A huge thank you to everyone who’s joined and contributed to making this such a special community. I know things have been a little quiet lately — that’s because I’ve been head-down, fully consumed with building Lumarka, our revolutionary new AI filmmaking/content creation app. 🎬🤖 But stay tuned! In the near future, I’ll be sharing some very cool things here, including exclusive sneak peeks of Lumarka before anyone else gets to see them. More soon — and thanks again for being part of this journey. 🚀

One of the biggest missing pieces in AI video generation has been precise, cinematic camera control. Until now, it's been more “happy accident” than “intentional shot.” But Higgsfield might be changing that. Their new GenAI video platform claims to give creators real control over camera motion — dolly shots, crash zooms, boltcam-style fly-ins — all with full creative intent baked into every frame. If this thing delivers on what it promises, it’s not just another cool tool — it's a game-changer for anyone making stylized, high-quality AI video content. It’s exactly what I've been waiting for. Stay tuned. 👀

Wow, I can’t believe the news today - some of the biggest multi-national corporations are throwing massive resources and brainpower into cutting-edge AI video generation models, and the results are blowing people's minds. I’ll keep this short, but you have to check out this week’s AIography newsletter (remember, the "I" is silent 🤫) for all the juicy details. Here’s a taste: - Tencent, one of the world’s largest companies (based in China), just dropped Hunyuan Video—an open-source video model that’s absolutely game-changing. Yes, open source! - Google’s Veo and Amazon’s Nova are rolling out to select users, and these tools are flexing some serious creative muscle in video and image gen. - And then there’s WorldLabs AI, which turns your 2D photos into AI-generated 3D worlds in real time. It’s like stepping into your imagination. And that’s just scratching the surface. There’s way more to cover, but I don’t want to spoil it all here. Hit up this week’s AIography Newsletter for the full scoop: https://bit.ly/49hsPAh 🎥✨ Be sure to subscribe (you are subscribed already, right?) and share this with anyone who’s as crazy excited as we are about the future of filmmaking, content creation, and media creativity. Let’s shape the future together! 💡 #AI #Filmmaking #Creativity

Wondering what this "Points" thing is all about? Skool uses a gamification system to keep things exciting and interactive, making it easy to grow within the community while contributing to it. Every time someone likes your post or comment, you earn a point. These points aren’t just numbers, they’re your ticket to moving up in the ranks. The more valuable content you share, the more opportunities you create to earn points and level up. To maximize your progress, keep posting quality insights, join conversations, and connect with others. With each post, you’re not just sharing knowledge; you’re building your reputation in the community. It's a fun way to make AIography a thriving space, one point at a time! 🙌